Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add po4yka/llm-wiki-skills --skill llm-wiki-export-publishgit clone --depth 1 https://github.com/po4yka/llm-wiki-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/po4yka/llm-wiki-skills/llm-wiki-export-publish)<a href="https://agentmods.dev/skills/po4yka/llm-wiki-skills/llm-wiki-export-publish"><img src="https://agentmods.dev/badge/skills/po4yka/llm-wiki-skills/llm-wiki-export-publish/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/po4yka/llm-wiki-skills/llm-wiki-export-publish"><img src="https://agentmods.dev/badge/skills/po4yka/llm-wiki-skills/llm-wiki-export-publish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.02063 |
| Opus 5 | $0.00036 | $0.01032 |
| Sonnet 5 | $0.00014 | $0.00413 |
| Haiku 4.5 | $0.00007 | $0.00206 |
Grade A, and why
llm-wiki-export-publish scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM-Wiki Export Publish
Goal
Turn private or internal LLM-Wiki content into safe, scoped, versioned and provenance-preserving outputs for humans, agents, APIs, graphs or archives.
Use references/docs/21-publishing-export.md as the reference architecture for export profiles, human/agent/API/graph/archive targets, redaction, manifests, CI gates, release workflows and rollout.
When to use
- A wiki maintainer wants to publish a public docs site, internal handbook, or agent-readable
llms.txt/JSONL bundle from private wiki content. - A release needs a redacted, provenance-preserving export that excludes draft, private, sensitive or unreviewed pages.
- A team needs a graph export (GraphML, JSON-LD, Cytoscape) or an archive bundle for long-term preservation.
- CI needs export-profile validation, redaction scanning, or manifest/checksum generation before a release gate.
- Do not use this skill to author new wiki content, run ingestion, or perform redaction analysis in depth — hand those off to
llm-wiki-ingest,llm-wiki-privacy-redactororllm-wiki-security-review.
Inputs
- Source wiki path.
- Target audience: private reviewers, internal users, public users, agents, API clients, graph tools or archive consumers.
- Target format: Markdown bundle, static site, handbook, PDF, release notes, newsletter,
llms.txt,llms-full.txt, JSONL, JSON-LD, GraphML, OpenAPI, MCP manifest, archive bundle. - Audience and privacy boundary.
- Publish destination if known.
- Export profile, allowlist, tags, folders or review states if available.
- Redaction policy and review requirements.
Procedure
1. Define export profile
Choose one or more profiles:
| Profile | Audience | Typical output | Default policy |
|---|---|---|---|
private-review |
maintainers/reviewers | review bundle, diff report, unresolved claims | may include drafts, never public |
internal-site |
team/company | static site, internal search, Markdown bundle | reviewed/approved internal pages only |
public-site |
public users | curated static docs, sitemap, Pagefind/search index | explicit allowlist and redaction required |
agent-bundle |
LLM/agent consumers | llms.txt, per-page Markdown/TXT, JSONL, manifest |
concise, cited, machine-friendly, no private raw content |
api-export |
product/integration clients | OpenAPI, read-only MCP resource profile, JSON endpoints | separate public/internal contracts |
graph-export |
graph tools/visualization | JSON-LD, GraphML, Mermaid, GraphViz, Cytoscape JSON | edge provenance and sensitivity filters |
archive |
long-term preservation | tar/zip, checksums, release asset, WARC where applicable | immutable, versioned, access-controlled |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 288 lines · 72 tokens per session scan A 287994b849f6
llm-wiki-export-publish is a skill published in the GitHub repository po4yka/llm-wiki-skills (3 stars, last pushed 19d ago), licensed MIT. It adds 72 tokens to every session and 2,063 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
wiki-export
Export a vault's wiki either as a single portable file (llms.txt or llms-full.txt per the llmstxt.org standard) or as an OKF knowledge bundle (Google's Open Knowledge Format v0.1 — a shareable directory of markdown files any AI agent can consume). Use when the user says "export my wiki", "make an llms.txt", "share my…
template-execute
Execute a Templater template, optionally writing the rendered output to a new file. Arguments are exposed to the template via tp.mcpTools.prompt("key") (directly under tp, NOT under tp.user — easy footgun). EN triggers: "render the X template", "run the daily template", "execute Templates/X.md with arg1=v1", "use…
read-frontmatter
Read frontmatter (the whole object or one key) from a file. Types are preserved (numbers stay numbers, arrays stay arrays). EN triggers: "what's the frontmatter of X", "show me the metadata of X", "read the properties of X", "what's the status of X", "get the tags on X". FR triggers : "quel est le frontmatter de X"…
read-get
Read the full content of a file from a vault (markdown + frontmatter). EN triggers: "show me X", "open the file X", "read X", "what's in X.md", "fetch X". FR triggers : "montre-moi X", "ouvre le fichier X", "lis X", "qu'est-ce qu'il y a dans X.md", "récupère X". Example / Exemple: EN: "show me Sessions/2026-05-03.md"…
ingest
A tool for adding a URL, file, text, or Inbox item to the LLM Wiki. It checks the material's purpose, preserves the original source, compiles a wiki page, updates indexes and logs, and reviews the result.
okf
Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a…